Ocado Technology
Circuit mix
Where Ocado Technology shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps40%1 event
- Enterprise, analyst & AI expos20%1 event
- Cloud providers20%1 event
- Python & R data science20%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| MLOps World (Machine Learning in Production) | ||||||||||
| AWS re:Invent | ||||||||||
| PyData | ||||||||||
| The AI Summit |
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Silver
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2022.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- MLOps World (Machine Learning in Production)once, 2022, Silver
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Charles Schwab0.80
- Zoom0.74
- Barclays0.73
- Seldon0.71
- Aporia0.69
- Valohai0.69
- Ford Motor Company0.69
- XetHub0.69
4 Cluster: The AI Summit · AWS re:Invent circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Aggregate Intellect | 1 | 100% |
| Agnostiq (Covalent) | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| Aporia | 1 | 100% |
| Arize AI | 1 | 100% |
| ClearML | 1 | 100% |
| Featureform | 1 | 100% |
| Genesis Cloud | 1 | 100% |
| Harnham | 1 | 100% |
| IBM | 1 | 100% |
| Iguazio | 1 | 100% |
| Iterative | 1 | 100% |
| MLOps Community | 1 | 100% |
| Modzy | 1 | 100% |
| MosaicML | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Ocado Technology (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
- ODSC · MLOps World circuit 10
- The AI Summit · AWS re:Invent circuit 7
- QCon · MCP Dev Summit / AGNTCon + MCPCon circuit 4
- AWS re:Invent · Google Cloud Next circuit 3
- PyData · posit::conf circuit 2
- AI Engineer · MLOps World circuit 1
- CIDR · ACM SIGMOD/PODS circuit 1
- Current · Data Streaming Summit circuit 1
- NeurIPS · ACM SIGKDD circuit 1
- Data Innovation Summit · Nordic Data Science and Machine Learning Summit circuit 1
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| 3rd Annual MLOps World 2022 | Jun 9–10, 2022 | Toronto, Canada | Silver Sponsors | Silver |
Speakers 4
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Alex Harvey | The AI Summit London 2024 | keynote | Canadian AI Landscape | — |
| Tristan West | PyData London 2023 | talk | Large scale agent-based simulations: how to do it right, and how we used one to optimise fibre broadband rollout across the UK | — |
| Cam Mac | AWS re:Invent 2022 | breakout | Run a hybrid cloud environment at the edge with Amazon ECS Anywhere | Slides · Video |
| Karime Pereida | 3rd Annual MLOps World 2022 | speaker | RL from Simulation to Production | — |